1 00:00:05,160 --> 00:00:07,360 Speaker 1: Hey, this is Annie and Smitha. I'm welcome to stuff 2 00:00:07,360 --> 00:00:20,000 Speaker 1: I've never told you, addiction about heart radio, and welcome 3 00:00:20,200 --> 00:00:24,439 Speaker 1: to an episode. This was an idea. This classic was 4 00:00:24,440 --> 00:00:26,720 Speaker 1: an idea of yours, Samantha that I thought was really interesting, 5 00:00:26,760 --> 00:00:31,480 Speaker 1: and it was about the history of the hashtag, which 6 00:00:32,080 --> 00:00:37,040 Speaker 1: I have been thinking a lot about technology and the 7 00:00:37,040 --> 00:00:40,760 Speaker 1: good and bad ways it's changed our world, but the 8 00:00:41,200 --> 00:00:45,200 Speaker 1: hashtag was one. It was a thing that really changed 9 00:00:45,479 --> 00:00:48,360 Speaker 1: the way we go about some things. 10 00:00:48,159 --> 00:00:52,360 Speaker 2: On the Internet or the older generations. The pound zine. 11 00:00:53,240 --> 00:00:58,480 Speaker 1: Yes, which is funny because it often gives confusion when 12 00:00:58,520 --> 00:01:00,520 Speaker 1: you have a code like a gatecoad to get into 13 00:01:00,520 --> 00:01:03,639 Speaker 1: an apartment complex or something, and sometimes you don't know 14 00:01:03,680 --> 00:01:06,920 Speaker 1: if you're supposed to use the pound sign or the 15 00:01:06,959 --> 00:01:09,800 Speaker 1: hashtag or if it just means like number and you 16 00:01:09,880 --> 00:01:12,600 Speaker 1: have to guess. Oh, I don't even know if that's 17 00:01:12,640 --> 00:01:19,400 Speaker 1: a problem anymore, but that was a problem in my day. Anyway, 18 00:01:19,720 --> 00:01:28,840 Speaker 1: Please enjoy this classic episode. Hey, this is Annie and Samantha. 19 00:01:28,840 --> 00:01:30,640 Speaker 1: I'm welcome to Steffone never told you a protection of 20 00:01:30,640 --> 00:01:31,560 Speaker 1: iHeart radio. 21 00:01:40,640 --> 00:01:43,520 Speaker 2: And today we are back. Happy New Year. Because this 22 00:01:43,560 --> 00:01:46,319 Speaker 2: is kind of the first full episode we've done in 23 00:01:46,360 --> 00:01:50,120 Speaker 2: a while, and it's kind of short. I'm guessing maybe not, 24 00:01:50,960 --> 00:01:54,840 Speaker 2: but it's very interesting. Yeah, because we are continuing with 25 00:01:54,880 --> 00:01:57,480 Speaker 2: our look into technology and women, apparently this is the 26 00:01:57,520 --> 00:01:59,840 Speaker 2: thing we're doing that we didn't mean to but kind 27 00:01:59,840 --> 00:02:03,880 Speaker 2: of happened. And of course we couldn't ignore the impact 28 00:02:03,920 --> 00:02:07,960 Speaker 2: of social media in this conversation, and in our recent 29 00:02:08,000 --> 00:02:10,920 Speaker 2: episode with bridget we talked about the current state of 30 00:02:11,000 --> 00:02:13,160 Speaker 2: Twitter and all the things that are happening there, which 31 00:02:13,240 --> 00:02:15,240 Speaker 2: led us to take a closer look at the history 32 00:02:15,240 --> 00:02:17,040 Speaker 2: of hashtags. You know, it's one of those like, oh 33 00:02:17,120 --> 00:02:20,480 Speaker 2: where did that come from? Moment and how women have 34 00:02:20,560 --> 00:02:23,920 Speaker 2: not only been impacted by its use, but has actually 35 00:02:23,960 --> 00:02:27,480 Speaker 2: shaped the effectiveness of hashtags as well. So we had 36 00:02:27,520 --> 00:02:30,120 Speaker 2: to jump into that. But before we do, and do 37 00:02:30,200 --> 00:02:32,840 Speaker 2: you use hashtags or as we know it pound? 38 00:02:35,320 --> 00:02:39,560 Speaker 1: You know, one of the like funniest generational divides I've 39 00:02:39,560 --> 00:02:44,320 Speaker 1: ever experienced is that of the what do you call 40 00:02:44,360 --> 00:02:46,280 Speaker 1: it pound? Or do you call it hashtag? But also 41 00:02:46,440 --> 00:02:49,240 Speaker 1: like you know, when you would go visit Maybe this 42 00:02:49,320 --> 00:02:50,919 Speaker 1: is just me, but you would go to visit an 43 00:02:50,919 --> 00:02:54,480 Speaker 1: apartment building and they'd give you the code and I 44 00:02:54,520 --> 00:02:58,360 Speaker 1: would just disregard the hashtag and just put in the number, 45 00:02:58,720 --> 00:03:01,640 Speaker 1: but you have to put in hash yeah, and I 46 00:03:01,639 --> 00:03:09,240 Speaker 1: would just have stuck out there. I do use hashtags. 47 00:03:09,360 --> 00:03:13,320 Speaker 1: I think we're gonna be talking about this more when 48 00:03:13,320 --> 00:03:15,840 Speaker 1: I get to like the fan fiction section of the 49 00:03:15,880 --> 00:03:17,320 Speaker 1: because you know, we have to have a fan fiction 50 00:03:17,480 --> 00:03:19,480 Speaker 1: section of this, of course, because I feel like I 51 00:03:19,560 --> 00:03:23,680 Speaker 1: generally use them in the way that is not I 52 00:03:23,760 --> 00:03:27,320 Speaker 1: use them in the humorous way I guess, which they can. 53 00:03:27,440 --> 00:03:33,080 Speaker 1: They are very very useful and grouping information that is important, 54 00:03:33,280 --> 00:03:36,520 Speaker 1: and especially around like protesting and very like big issues. 55 00:03:37,240 --> 00:03:39,400 Speaker 1: But there is like the fun side of them, which 56 00:03:39,440 --> 00:03:40,840 Speaker 1: I never want to forget because I feel like a 57 00:03:40,880 --> 00:03:43,520 Speaker 1: lot of times, as we rightly should, we talk about 58 00:03:43,520 --> 00:03:45,320 Speaker 1: the more serious matters of this, but there are the 59 00:03:45,360 --> 00:03:48,000 Speaker 1: fun kind of parts of it. And I really like 60 00:03:48,120 --> 00:03:54,560 Speaker 1: coming up with the you know, super long, ridiculous hashtag 61 00:03:55,400 --> 00:03:58,320 Speaker 1: or either you know, like the humorous one where I'll 62 00:03:58,720 --> 00:04:01,080 Speaker 1: you know, hashtag nailed it definitely did not nail it. 63 00:04:02,320 --> 00:04:04,440 Speaker 1: So I do, but I usually use them in a 64 00:04:04,600 --> 00:04:07,400 Speaker 1: less serious way, I guess if that makes sense. 65 00:04:07,840 --> 00:04:12,480 Speaker 2: Yeah, you know, coming on to Sminty the show and 66 00:04:13,080 --> 00:04:14,600 Speaker 2: I took over the social media, I was like, I 67 00:04:14,600 --> 00:04:17,680 Speaker 2: can do this, which I found out I can't. I 68 00:04:17,760 --> 00:04:20,560 Speaker 2: tried to study and look into what is effective and 69 00:04:20,600 --> 00:04:22,640 Speaker 2: what isn't because you know, at that point in time, 70 00:04:22,680 --> 00:04:25,560 Speaker 2: we thought social media would be a big part of podcasting, 71 00:04:25,800 --> 00:04:29,159 Speaker 2: and not that it's not, but for us it hasn't 72 00:04:29,160 --> 00:04:31,040 Speaker 2: been as a big our. Marketing people are like, don't 73 00:04:31,040 --> 00:04:32,880 Speaker 2: worry about it type of thing. But I was really 74 00:04:32,880 --> 00:04:34,280 Speaker 2: into it. I was like, I want to make this, 75 00:04:34,320 --> 00:04:36,480 Speaker 2: I want to cultivate it whatever whatnot. Because the host 76 00:04:36,560 --> 00:04:38,920 Speaker 2: before me, you you didn't take care of the social media. 77 00:04:38,920 --> 00:04:42,400 Speaker 2: I think Bridget did right. Yes, they were powerhouses. I 78 00:04:42,440 --> 00:04:44,800 Speaker 2: still don't quite get them. But I one of the 79 00:04:44,800 --> 00:04:48,000 Speaker 2: things I looked up is how to use hashtags, which 80 00:04:48,000 --> 00:04:49,560 Speaker 2: we're going to talk a little bit about. Not really, 81 00:04:49,600 --> 00:04:53,160 Speaker 2: we're going to mention again about being used. So I 82 00:04:53,200 --> 00:04:55,080 Speaker 2: tried to be more serious with it and try to 83 00:04:55,080 --> 00:04:58,359 Speaker 2: find all the hashtags. I had a kind of a 84 00:04:58,400 --> 00:05:03,680 Speaker 2: nonprofit project that I did about women domestic violence survivors 85 00:05:03,800 --> 00:05:06,080 Speaker 2: and telling their stories, and I used that as well 86 00:05:06,120 --> 00:05:10,160 Speaker 2: to group the stories and I used it for WordPress, 87 00:05:10,360 --> 00:05:13,080 Speaker 2: which is not exactly the same thing. So we're going 88 00:05:13,120 --> 00:05:15,800 Speaker 2: to talk about that as well. Uh, but you know, 89 00:05:15,920 --> 00:05:18,560 Speaker 2: realizing that this is how you reach out now that 90 00:05:18,720 --> 00:05:21,679 Speaker 2: it just doesn't happen just because and it's almost harder 91 00:05:22,279 --> 00:05:24,599 Speaker 2: when you don't use it, so you have to be 92 00:05:24,720 --> 00:05:27,760 Speaker 2: very purposeful. So I did use it that way as 93 00:05:27,800 --> 00:05:29,919 Speaker 2: a person on my own. Yeah, I do silly things 94 00:05:30,000 --> 00:05:34,040 Speaker 2: as well. I will write full sentences as well, because 95 00:05:34,040 --> 00:05:36,159 Speaker 2: I'm like, oh, this is ridiculous. But also I do 96 00:05:36,200 --> 00:05:38,440 Speaker 2: have a hashtag for peach myth puzsins. No one uses 97 00:05:38,440 --> 00:05:38,839 Speaker 2: it but me. 98 00:05:39,760 --> 00:05:41,400 Speaker 1: Oh, I'll get in there, Okay. 99 00:05:41,160 --> 00:05:44,279 Speaker 2: Get in there. I use that one often, just like 100 00:05:44,320 --> 00:05:52,160 Speaker 2: okay because all of my uh I will guarantee, guarantee. 101 00:05:52,279 --> 00:05:53,920 Speaker 2: So if y'all want to see pictures of my dog 102 00:05:53,960 --> 00:05:57,880 Speaker 2: outside of following me hashtag peaches mcfuzzin, you're welcome. 103 00:05:58,279 --> 00:05:58,719 Speaker 1: Perfect. 104 00:06:00,160 --> 00:06:02,240 Speaker 2: You know what, that would be interesting too if we 105 00:06:02,360 --> 00:06:05,040 Speaker 2: looked at the trends, because of course a part of 106 00:06:05,120 --> 00:06:08,159 Speaker 2: the search that you can do to kind of widen 107 00:06:08,240 --> 00:06:10,320 Speaker 2: the scope outside of just the people you follow or 108 00:06:10,320 --> 00:06:13,800 Speaker 2: follow you or now all the retweets and the likes 109 00:06:13,800 --> 00:06:15,840 Speaker 2: that come our way. And I hate that, by the way, 110 00:06:16,279 --> 00:06:18,320 Speaker 2: where you just see other people's likes. I'm like, why 111 00:06:18,360 --> 00:06:22,120 Speaker 2: do I have to see this? Anyway. But some of 112 00:06:22,120 --> 00:06:26,000 Speaker 2: the things that are trending for me specifically is Speaker 113 00:06:26,080 --> 00:06:30,440 Speaker 2: of the House vote, which yes, today is January fifth, 114 00:06:30,520 --> 00:06:34,080 Speaker 2: tween twenty three. There is a mess, yeah right now 115 00:06:34,120 --> 00:06:37,400 Speaker 2: with the situation, so I do find it interesting. Another 116 00:06:37,440 --> 00:06:41,599 Speaker 2: hashtag is hashtag national Birthday. I did not know, did 117 00:06:41,640 --> 00:06:46,360 Speaker 2: you know? No? Okay, well now you do. Another trend 118 00:06:46,440 --> 00:06:49,159 Speaker 2: is hashtag House of Representatives. Of course, and this is 119 00:06:49,200 --> 00:06:52,400 Speaker 2: on Twitter, because we are going to largely talk about Twitter, 120 00:06:52,520 --> 00:06:54,680 Speaker 2: especially at the beginning, because this is kind of where 121 00:06:54,720 --> 00:06:58,360 Speaker 2: it began, specifically the hashtag not tags. We'll get into 122 00:06:58,360 --> 00:07:02,120 Speaker 2: that once again. Yeah, so for Twitter, what's trending for you? 123 00:07:02,520 --> 00:07:06,680 Speaker 1: So, so I just had an interesting time. I haven't 124 00:07:06,760 --> 00:07:08,400 Speaker 1: used Twitter on my phone in forever. I use it 125 00:07:08,400 --> 00:07:10,600 Speaker 1: on my lab. I'm the only person who uses this laptop. 126 00:07:10,680 --> 00:07:16,960 Speaker 1: I feel like, oh wow, right now it's Prince Harry, oh, 127 00:07:17,240 --> 00:07:23,600 Speaker 1: Speaker of the House vote, Republicans in ruin. I'm suppressor. 128 00:07:23,680 --> 00:07:26,440 Speaker 1: So usually there's something Star Wars related that is not 129 00:07:26,600 --> 00:07:29,800 Speaker 1: like trending at all, but because I'm Star warssus, it's 130 00:07:29,840 --> 00:07:30,800 Speaker 1: always up there. 131 00:07:32,480 --> 00:07:37,160 Speaker 2: I like it. Yeah, well, you know, maybe because there's 132 00:07:37,200 --> 00:07:38,320 Speaker 2: no shows right now. 133 00:07:38,440 --> 00:07:42,560 Speaker 1: Well, yesterday, Ezra was trending. I saw that, and I 134 00:07:42,640 --> 00:07:45,760 Speaker 1: was nervous about it. Darth Vader is usually trending for me, 135 00:07:45,800 --> 00:07:48,680 Speaker 1: and I can't quite figure out why. But I mean 136 00:07:48,680 --> 00:07:50,840 Speaker 1: I can, but I'm also kind of like this made 137 00:07:50,880 --> 00:07:52,960 Speaker 1: people just treating about Darth Vader all the time. 138 00:07:53,560 --> 00:07:57,520 Speaker 2: Probably, I guess we're pretty similar, except for I don't 139 00:07:57,560 --> 00:08:03,480 Speaker 2: have any Prince Harry, even though I've seen all the stuff. Ugh, ugh, monarchies. 140 00:08:04,160 --> 00:08:08,720 Speaker 2: Let's let's abolish them. Come on, JK. So we know 141 00:08:08,800 --> 00:08:11,840 Speaker 2: of hashtags. We're getting there. I still like when you 142 00:08:11,880 --> 00:08:15,040 Speaker 2: were talking about hashtag the door code, it really bothered 143 00:08:15,080 --> 00:08:17,320 Speaker 2: me because I was like, it's pound, it's pound, whatever, 144 00:08:17,360 --> 00:08:19,040 Speaker 2: What are you talking about? If you tell someone to 145 00:08:19,080 --> 00:08:24,160 Speaker 2: code it's pound, how dare you? But yes, because it's 146 00:08:24,160 --> 00:08:26,440 Speaker 2: been around, we haven't really talked about it too much, 147 00:08:26,480 --> 00:08:28,080 Speaker 2: but we do want to take that deep dive and 148 00:08:28,120 --> 00:08:30,880 Speaker 2: look at the history. So before we start, we're going 149 00:08:30,920 --> 00:08:33,320 Speaker 2: to look back at the beginning of the hashtag and 150 00:08:33,360 --> 00:08:36,600 Speaker 2: when you look at the origin of hashtag or again 151 00:08:37,160 --> 00:08:40,800 Speaker 2: pound as it was known to me. Most talk about 152 00:08:40,840 --> 00:08:43,680 Speaker 2: the moment in two thousand and seven when Christmasina, who 153 00:08:43,880 --> 00:08:45,960 Speaker 2: was at Twitter at the time sent out a tweet 154 00:08:46,120 --> 00:08:50,000 Speaker 2: asking how likely people would use hashtags for their tweets. 155 00:08:50,559 --> 00:08:52,720 Speaker 2: And by the way, apparently the Twitter founders were not 156 00:08:52,920 --> 00:08:57,000 Speaker 2: fans of either of these terms hashtags or tweets, so 157 00:08:57,040 --> 00:08:59,040 Speaker 2: that didn't happen till two thousand and nine, and they 158 00:08:59,160 --> 00:09:02,200 Speaker 2: allowed that like yeah, is officially that that's fine whatever. 159 00:09:04,520 --> 00:09:07,360 Speaker 2: And it was during around the same time a stoboid, 160 00:09:07,440 --> 00:09:10,560 Speaker 2: a blogger was using something similar on his own blog 161 00:09:10,600 --> 00:09:14,160 Speaker 2: post and later stated quote in yes, y'all, I did 162 00:09:14,200 --> 00:09:17,680 Speaker 2: deep dive on their blogs from way back when. It's 163 00:09:17,720 --> 00:09:20,640 Speaker 2: also worth noting that Messina and I were involved at 164 00:09:20,640 --> 00:09:23,400 Speaker 2: the time in a Twitter and blog based discussion about 165 00:09:23,480 --> 00:09:28,000 Speaker 2: a membership in group versus what I call groupings. In 166 00:09:28,040 --> 00:09:31,200 Speaker 2: a post at the time, Messina specifically referenced my writings 167 00:09:31,200 --> 00:09:34,560 Speaker 2: on groupings. A grouping is a collection of people that 168 00:09:34,640 --> 00:09:37,360 Speaker 2: share attributes in common, like the use of a certain 169 00:09:37,440 --> 00:09:40,520 Speaker 2: tag on their blog posts or frequent a certain bar, 170 00:09:41,000 --> 00:09:44,520 Speaker 2: or a study such as martial arts. And he went 171 00:09:44,600 --> 00:09:49,679 Speaker 2: on saying, my argument then see hashtags equal Twitter groupings 172 00:09:50,120 --> 00:09:52,400 Speaker 2: was that tags in Twitter would wind up being used 173 00:09:52,440 --> 00:09:55,160 Speaker 2: in the same way and indication of the nature of 174 00:09:55,240 --> 00:09:58,880 Speaker 2: the contents of the tweet, but in aggregate, everyone that 175 00:09:59,040 --> 00:10:02,880 Speaker 2: uses the hashtag ted x are a grouping and that 176 00:10:02,960 --> 00:10:07,520 Speaker 2: self selected identification could be an important cultural marker. And 177 00:10:07,559 --> 00:10:09,160 Speaker 2: that's pretty much what happened. 178 00:10:09,440 --> 00:10:12,559 Speaker 1: Yeah, And Chris Messina himself talked about wanting to explore 179 00:10:12,600 --> 00:10:15,240 Speaker 1: options like tags used in blogs and point to sites 180 00:10:15,280 --> 00:10:19,400 Speaker 1: like Jaiku, which was similar. It was a similar social 181 00:10:19,400 --> 00:10:22,160 Speaker 1: media site like Twitter, and it was created around the 182 00:10:22,200 --> 00:10:25,520 Speaker 1: same time and Flicker, which still uses tags to show 183 00:10:25,559 --> 00:10:29,280 Speaker 1: trends and topics. And in fact, Messina took the tag 184 00:10:29,520 --> 00:10:32,280 Speaker 1: San Diego fire as a tester, which was a way 185 00:10:32,280 --> 00:10:35,319 Speaker 1: for bloggers to inform the public of the ongoing wildfires 186 00:10:35,360 --> 00:10:38,200 Speaker 1: at the time, and in his blog, Messina states, I'm 187 00:10:38,200 --> 00:10:41,959 Speaker 1: more interested in simply having a better eavesdropping experience on Twitter. 188 00:10:42,280 --> 00:10:46,720 Speaker 1: To that end, I focused my thinking on contextualization, content filtering, 189 00:10:46,760 --> 00:10:53,760 Speaker 1: and exploratory serendipity within the Twitter sphere. Sphere, Twitter sphere, 190 00:10:54,160 --> 00:10:59,280 Speaker 1: I love this, Like yeah, so then go oh yeah, 191 00:10:59,360 --> 00:11:03,480 Speaker 1: all right, continued. It occurred to me that IRC or 192 00:11:03,480 --> 00:11:07,240 Speaker 1: Internet relay chat, presents a proven model for these needs 193 00:11:07,320 --> 00:11:10,000 Speaker 1: with its foundation on channels, and so that's what I'm 194 00:11:10,120 --> 00:11:15,120 Speaker 1: generally going to call them now. In thinking about implementing channels, 195 00:11:15,400 --> 00:11:18,520 Speaker 1: it was imperative that I not introduced any significant changes 196 00:11:18,600 --> 00:11:21,160 Speaker 1: into the way that I currently use Twitter, anymore than 197 00:11:21,200 --> 00:11:23,120 Speaker 1: I have for any other features that have been added 198 00:11:23,120 --> 00:11:27,600 Speaker 1: to Twitter, for example, at replies or direct messages. Channels 199 00:11:27,600 --> 00:11:31,160 Speaker 1: would need to be a command line friendly edition and 200 00:11:31,240 --> 00:11:34,840 Speaker 1: one that would require absolutely zero web based management to 201 00:11:34,960 --> 00:11:35,880 Speaker 1: make the most of it. 202 00:11:36,480 --> 00:11:38,880 Speaker 2: And that's what he did. And it was again in 203 00:11:38,920 --> 00:11:41,600 Speaker 2: two thousand and nine that Twitter officially adopted this new 204 00:11:41,600 --> 00:11:45,880 Speaker 2: way of communicating, which would expand onto other social media platforms. 205 00:11:46,679 --> 00:11:49,920 Speaker 2: And for more clear definition of its intention, quote, the 206 00:11:50,000 --> 00:11:53,000 Speaker 2: purpose of the invention was to create a metatag that 207 00:11:53,120 --> 00:11:56,520 Speaker 2: allowed users to track dynamic content in relation to a 208 00:11:56,559 --> 00:12:01,280 Speaker 2: particular event or topic. Because we've said this a few 209 00:12:01,280 --> 00:12:03,320 Speaker 2: times and because we're going to go into it, we 210 00:12:03,360 --> 00:12:07,719 Speaker 2: didn't want to talk about the differences between tags and hashtags. 211 00:12:07,960 --> 00:12:10,640 Speaker 2: So again we mentioned earlier tags have been around and 212 00:12:10,920 --> 00:12:13,760 Speaker 2: what's a part of the inspiration to hashtags? And if 213 00:12:13,800 --> 00:12:16,000 Speaker 2: you look at Flicker today, the tags are still in 214 00:12:16,120 --> 00:12:20,680 Speaker 2: use and it helps categorize and even advertise an individual 215 00:12:20,720 --> 00:12:23,640 Speaker 2: post or picture. I mean I remember using it on 216 00:12:23,720 --> 00:12:27,520 Speaker 2: my Zanga posts. Yeah, I did, and Honestly, it just 217 00:12:27,559 --> 00:12:28,960 Speaker 2: clicked for me. I was like, oh, yeah, that's what 218 00:12:29,040 --> 00:12:31,600 Speaker 2: those are. This would be and this would be around 219 00:12:31,679 --> 00:12:33,880 Speaker 2: like two thousand, two thousand and one, y'all. 220 00:12:34,040 --> 00:12:36,840 Speaker 1: Yeah, yeah, And they still use them on things like Tumblr, 221 00:12:37,000 --> 00:12:40,920 Speaker 1: and we use them when we write our metadata, right, 222 00:12:41,200 --> 00:12:43,520 Speaker 1: we have to write out keywords and that's for searchability. 223 00:12:43,640 --> 00:12:45,719 Speaker 1: So it's not quite this. Well it's very similar, but 224 00:12:45,800 --> 00:12:47,680 Speaker 1: it's not quite the same, but we have to write 225 00:12:47,679 --> 00:12:50,000 Speaker 1: out like you know, this episode is about hashtags, and 226 00:12:50,040 --> 00:13:03,160 Speaker 1: it has this and this and this for every episode, 227 00:13:05,640 --> 00:13:08,640 Speaker 1: and we have in earlier episodes, of course, talked about 228 00:13:08,640 --> 00:13:13,600 Speaker 1: the power of tags in fan fiction, like with AO 229 00:13:13,679 --> 00:13:16,679 Speaker 1: three Archive of our Own, which is like one of 230 00:13:16,720 --> 00:13:21,400 Speaker 1: the biggest names in fan fiction. More to come about it. 231 00:13:21,440 --> 00:13:26,000 Speaker 1: Oh my gosh, I'm so excited. Oh but yeah, we 232 00:13:26,040 --> 00:13:28,040 Speaker 1: talked about in our episode. It was called it was 233 00:13:28,040 --> 00:13:30,280 Speaker 1: a Monday Mini called a love letter to fan fiction, 234 00:13:30,640 --> 00:13:32,720 Speaker 1: but it was mostly about AO three. Where that was 235 00:13:32,760 --> 00:13:38,240 Speaker 1: a big thing that differentiated AO three was the tags, 236 00:13:39,440 --> 00:13:44,160 Speaker 1: so you could search for very very niche things and 237 00:13:44,280 --> 00:13:46,680 Speaker 1: as someone who's like posting on AO three for the 238 00:13:46,679 --> 00:13:49,160 Speaker 1: first time, like it'll show you if it exists, you 239 00:13:49,160 --> 00:13:51,720 Speaker 1: can create one if it doesn't exist. People do like 240 00:13:51,760 --> 00:13:53,000 Speaker 1: to have a lot of fun with them, as I 241 00:13:53,040 --> 00:13:56,400 Speaker 1: said in that episode, especially like the no Beta we 242 00:13:56,520 --> 00:14:01,240 Speaker 1: die like younglings, very sad, but like Beta, who is 243 00:14:01,280 --> 00:14:04,600 Speaker 1: your editor? And they're funny. They're like one of my 244 00:14:04,800 --> 00:14:08,760 Speaker 1: very favorite parts of that experience is just reading the 245 00:14:08,840 --> 00:14:11,200 Speaker 1: creative tags that people come up with, and it's a 246 00:14:11,240 --> 00:14:18,440 Speaker 1: really great way of getting a sense of something without 247 00:14:18,520 --> 00:14:22,080 Speaker 1: reading it beyond the summary, because it's like the summary 248 00:14:22,160 --> 00:14:24,760 Speaker 1: can only tell you so much without spoiling everything, but 249 00:14:24,800 --> 00:14:27,800 Speaker 1: the tags can give you a real idea of like 250 00:14:27,840 --> 00:14:29,680 Speaker 1: what you're getting into, and they can warn you if 251 00:14:29,720 --> 00:14:31,560 Speaker 1: it's going to have something that might upset you. Like 252 00:14:31,680 --> 00:14:35,040 Speaker 1: they're just a really effective way of being entertaining but 253 00:14:35,080 --> 00:14:38,000 Speaker 1: also conveying a lot of information and you can search 254 00:14:38,040 --> 00:14:41,520 Speaker 1: for something incredibly specific with them, right. 255 00:14:42,360 --> 00:14:44,960 Speaker 2: I did read as we were researching this on one 256 00:14:44,960 --> 00:14:47,640 Speaker 2: of the Reddit posts about fain fiction, but there was 257 00:14:47,720 --> 00:14:49,840 Speaker 2: kind of a moment of like people being really upset 258 00:14:49,920 --> 00:14:55,120 Speaker 2: for people adding the tags when it wasn't really there 259 00:14:55,280 --> 00:14:57,400 Speaker 2: and or harassing people through those tags. 260 00:14:58,000 --> 00:15:03,440 Speaker 1: Yeah, well, so there is It's complicated to explain, but essentially, 261 00:15:03,480 --> 00:15:06,160 Speaker 1: like if you don't want to spoil people. You can 262 00:15:06,280 --> 00:15:09,160 Speaker 1: archive your tags where you can like basically the tax 263 00:15:09,240 --> 00:15:12,520 Speaker 1: would change via chapter as opposed to you know, the 264 00:15:12,560 --> 00:15:15,920 Speaker 1: whole story. This makes probably no sense if you're like 265 00:15:16,080 --> 00:15:19,360 Speaker 1: never had this, had this experience, but essentially like you 266 00:15:19,360 --> 00:15:23,160 Speaker 1: can archive your like author has chosen to archive warnings, 267 00:15:23,560 --> 00:15:26,160 Speaker 1: but still that usually means that they just don't want 268 00:15:26,200 --> 00:15:27,760 Speaker 1: you to know there's going to be a major character 269 00:15:27,800 --> 00:15:31,520 Speaker 1: death or whatever, and they'll tell you in the chapter 270 00:15:31,640 --> 00:15:35,440 Speaker 1: that it happens, like, hey, this is really not your thing. 271 00:15:36,560 --> 00:15:40,440 Speaker 1: I personally haven't had experience with her assing people through tags. 272 00:15:40,480 --> 00:15:42,400 Speaker 1: I've definitely seen tags where I'm like, oh, we would 273 00:15:42,480 --> 00:15:49,600 Speaker 1: not get along, okay, But I do have a very like, 274 00:15:49,600 --> 00:15:51,480 Speaker 1: like I've said, I feel like I've found a very 275 00:15:51,640 --> 00:15:58,080 Speaker 1: niche generally save community right in my Star Wars area. 276 00:15:58,200 --> 00:16:02,880 Speaker 1: I definitely believe I can see it for sure. I 277 00:16:02,880 --> 00:16:04,600 Speaker 1: can see it for sure. And there are things that 278 00:16:04,600 --> 00:16:06,760 Speaker 1: are definitely like done in poor taste of like making 279 00:16:06,800 --> 00:16:08,960 Speaker 1: fun of a character death and you know, not everybody's 280 00:16:08,960 --> 00:16:14,120 Speaker 1: super happy that that character died or something. Yeah, but yeah, 281 00:16:14,320 --> 00:16:18,640 Speaker 1: it's in. My experience has been mostly delightful, and people 282 00:16:18,680 --> 00:16:20,720 Speaker 1: will tell you if they're like you shouldn't have that tag. 283 00:16:20,720 --> 00:16:24,200 Speaker 1: You should take it down. That's also my experience, probably 284 00:16:24,200 --> 00:16:25,000 Speaker 1: not everyone's, but. 285 00:16:24,920 --> 00:16:27,120 Speaker 2: Which is interesting because that is very specific in that 286 00:16:27,200 --> 00:16:30,120 Speaker 2: you can request that. That's kind of rare, especially with 287 00:16:30,160 --> 00:16:31,760 Speaker 2: the hashtags, because you just kind of beire to ignore 288 00:16:31,800 --> 00:16:34,320 Speaker 2: it and move on or something like that. But that 289 00:16:34,480 --> 00:16:36,720 Speaker 2: is necessary for you to dive into a thing. So 290 00:16:36,760 --> 00:16:37,720 Speaker 2: that's that's interesting. 291 00:16:38,400 --> 00:16:42,240 Speaker 1: Mm hmm. Yeah. I could talk about it forever, but 292 00:16:43,080 --> 00:16:47,119 Speaker 1: we need to talk about more hashtag stuff. The widespread 293 00:16:47,200 --> 00:16:50,240 Speaker 1: use of tags and hashtags have been adopted by most 294 00:16:50,520 --> 00:16:54,160 Speaker 1: social media platforms, even though Twitter initially received backlash at 295 00:16:54,200 --> 00:16:57,920 Speaker 1: its beginning, Messina said, quote in the beginning, people really 296 00:16:57,960 --> 00:17:00,880 Speaker 1: hated them. People didn't understand why we need hashtags, and 297 00:17:00,880 --> 00:17:03,720 Speaker 1: the biggest complaint was that people just didn't like how 298 00:17:03,760 --> 00:17:04,439 Speaker 1: they looked. 299 00:17:04,880 --> 00:17:06,760 Speaker 2: It is interesting because it is highlighted, so you were 300 00:17:06,760 --> 00:17:08,119 Speaker 2: able to click on it and it will take you 301 00:17:08,160 --> 00:17:11,120 Speaker 2: to kind kind of a page of other posts that 302 00:17:11,200 --> 00:17:13,800 Speaker 2: has that tag. Again, I've didn't meant I was one 303 00:17:13,840 --> 00:17:16,800 Speaker 2: of those people. I even mocked the usage of them 304 00:17:16,800 --> 00:17:19,160 Speaker 2: by making them the most ridiculous tag because like, what 305 00:17:19,320 --> 00:17:22,000 Speaker 2: is this, oh hashtag? And the fact that it's part 306 00:17:22,040 --> 00:17:25,440 Speaker 2: of our vernacular. Literally, people will say hashtag something. Of course, 307 00:17:25,760 --> 00:17:29,000 Speaker 2: usually it's tongue in cheek, but I've definitely seen people 308 00:17:29,119 --> 00:17:32,119 Speaker 2: seriously saying it, and it's become part of our vocabulary, 309 00:17:32,200 --> 00:17:33,160 Speaker 2: which is very interesting. 310 00:17:34,640 --> 00:17:36,840 Speaker 1: Yeah, and I think that was part of the backlashes 311 00:17:36,880 --> 00:17:42,359 Speaker 1: when especially like in my in my realm like health 312 00:17:42,640 --> 00:17:47,320 Speaker 1: mostly women health creators, or being like hashtag blust or whatever, Right, 313 00:17:47,480 --> 00:17:53,280 Speaker 1: that became a real joke. It's been a We did 314 00:17:53,320 --> 00:17:55,520 Speaker 1: an episode, well Past hosted an episode on it, so 315 00:17:55,520 --> 00:17:57,520 Speaker 1: you can check that out if you want to. But yeah, 316 00:17:57,520 --> 00:18:01,960 Speaker 1: that didn't change the trajectory of how important this initiative 317 00:18:02,080 --> 00:18:04,720 Speaker 1: would be for our social media today. 318 00:18:05,160 --> 00:18:09,040 Speaker 2: Right, So let's talk about what's happening today as hashtags 319 00:18:09,040 --> 00:18:11,920 Speaker 2: took off and is now used for a variety of reasons, 320 00:18:11,960 --> 00:18:15,240 Speaker 2: including becoming an influencer, which we've talked about a lot. 321 00:18:15,640 --> 00:18:18,240 Speaker 2: If you look up hashtags today, and of course we did, 322 00:18:18,440 --> 00:18:21,359 Speaker 2: there are articles after articles on how to use hashtags 323 00:18:21,400 --> 00:18:23,960 Speaker 2: to build up your following and your brand. Like I said, 324 00:18:24,240 --> 00:18:28,240 Speaker 2: I looked those up myself when I initially started with Sminty. 325 00:18:29,200 --> 00:18:32,600 Speaker 2: Social media coordinators often use current trends to promote a 326 00:18:32,640 --> 00:18:35,720 Speaker 2: brand or a person in order to gain more followers 327 00:18:35,760 --> 00:18:40,280 Speaker 2: and more viewers. And this equals money obviously, and or 328 00:18:40,320 --> 00:18:44,119 Speaker 2: brand deals or all those things. Many articles online today 329 00:18:44,480 --> 00:18:47,600 Speaker 2: taua how to or the power of the hashtag. One 330 00:18:47,680 --> 00:18:51,280 Speaker 2: article written for entrepreneurs a say of hashtag, the hashtag, 331 00:18:51,400 --> 00:18:55,000 Speaker 2: that ubiquitous pound sign followed by keyword are part of 332 00:18:55,040 --> 00:18:58,040 Speaker 2: the language of social media. Who better to use these 333 00:18:58,080 --> 00:18:59,960 Speaker 2: hashtags than entrepreneurs? 334 00:19:00,760 --> 00:19:00,920 Speaker 1: Right? 335 00:19:01,920 --> 00:19:05,920 Speaker 2: And then they say hashtags are simple and explosive way 336 00:19:06,000 --> 00:19:09,120 Speaker 2: to increase your engagement as an entrepreneur. 337 00:19:09,720 --> 00:19:13,560 Speaker 1: Yeah, and I will say, we recently discussed the cold emails. 338 00:19:13,560 --> 00:19:17,800 Speaker 1: We get a lot at the sminty email address, and 339 00:19:17,880 --> 00:19:21,040 Speaker 1: a lot of them are we can maximize your social 340 00:19:21,080 --> 00:19:24,760 Speaker 1: media presence. We can work your hashtags, which I find 341 00:19:24,840 --> 00:19:29,680 Speaker 1: very fascinating, and uses for hashtags have already been adapted 342 00:19:29,720 --> 00:19:33,679 Speaker 1: for newer social media like TikTok. TikTok takes the usage 343 00:19:33,720 --> 00:19:36,240 Speaker 1: of hashtags a step further by using it as part 344 00:19:36,280 --> 00:19:40,639 Speaker 1: of an individual's algorithm with hashtags like fyp or the 345 00:19:40,720 --> 00:19:44,560 Speaker 1: for you page, and also helping to create specific subcultures 346 00:19:44,640 --> 00:19:49,000 Speaker 1: within its system. Some of the popular subcultures include hashtag, cottage, core, 347 00:19:49,440 --> 00:19:54,439 Speaker 1: hashtag moms of TikTok and hashtag fictok, which often are 348 00:19:54,480 --> 00:19:59,119 Speaker 1: geared more towards women or female identifying users. Hashtags are 349 00:19:59,200 --> 00:20:02,399 Speaker 1: so widely used on TikTok TikTok business sites use it 350 00:20:02,440 --> 00:20:04,960 Speaker 1: as a way of advertising. Two creators to hop on 351 00:20:04,960 --> 00:20:07,720 Speaker 1: the trend. For example, in August of twenty twenty one, 352 00:20:08,080 --> 00:20:11,560 Speaker 1: they tweeted the number of hashtag views such as hashtag 353 00:20:11,600 --> 00:20:15,320 Speaker 1: small business to encourage small business to join TikTok and 354 00:20:15,359 --> 00:20:17,960 Speaker 1: to use the platform to grow their businesses. And just 355 00:20:18,040 --> 00:20:21,160 Speaker 1: in case you were wondering, hashtag small business had thirty 356 00:20:21,200 --> 00:20:24,080 Speaker 1: three point eight billion views at the time. 357 00:20:24,320 --> 00:20:27,439 Speaker 2: Right huge. But one of the uses of hashtags that 358 00:20:27,480 --> 00:20:31,439 Speaker 2: had had us thinking about the origins of hashtags happened 359 00:20:31,480 --> 00:20:35,320 Speaker 2: to be the usage of hashtag activism. Currently on social 360 00:20:35,359 --> 00:20:38,680 Speaker 2: media platforms, the hashtag say their Names to save their 361 00:20:38,800 --> 00:20:42,960 Speaker 2: Lives has been circulating to publicly discuss the revolution occurring 362 00:20:43,080 --> 00:20:46,439 Speaker 2: in Iran and the many people who've been kidnapped and 363 00:20:46,480 --> 00:20:49,760 Speaker 2: detained due to their protesting or supporting the protests occurring 364 00:20:49,840 --> 00:20:53,040 Speaker 2: there now. And just a reminder, as far as I 365 00:20:53,119 --> 00:20:56,840 Speaker 2: believe still, Iran has cut off internet access for those 366 00:20:57,480 --> 00:21:00,480 Speaker 2: in Iran, So many of the activists are outside of 367 00:21:00,480 --> 00:21:03,000 Speaker 2: Iran trying to relay what is happening so that we 368 00:21:03,080 --> 00:21:05,920 Speaker 2: are in the know. And hashtag activism has been around 369 00:21:05,960 --> 00:21:09,520 Speaker 2: for over a decade now, if not longer, and even 370 00:21:09,600 --> 00:21:13,240 Speaker 2: has its own Wikipedia page, and according to the Wikipedia page, 371 00:21:13,600 --> 00:21:17,800 Speaker 2: hashtag activism quote refers to the use of Twitter's hashtag 372 00:21:17,960 --> 00:21:21,199 Speaker 2: for Internet activism. The hashtag has become one of the 373 00:21:21,240 --> 00:21:24,439 Speaker 2: many ways that social media contributes to civic engagement and 374 00:21:24,480 --> 00:21:27,760 Speaker 2: social movements. The use of hashtag on social media provides 375 00:21:27,960 --> 00:21:31,960 Speaker 2: users with an opportunity to share information and opinions about 376 00:21:31,960 --> 00:21:35,680 Speaker 2: social issues in a way that others followers can interact 377 00:21:35,680 --> 00:21:38,639 Speaker 2: and engage as part of a larger conversation with the 378 00:21:38,680 --> 00:21:41,280 Speaker 2: potential to create change. 379 00:21:41,200 --> 00:21:44,119 Speaker 1: And it has done that. Some of the biggest hashtags 380 00:21:44,160 --> 00:21:47,080 Speaker 1: used for activism was at the hands of women, more 381 00:21:47,080 --> 00:21:51,320 Speaker 1: specifically women of color. The conversation of hashtag activism is 382 00:21:51,359 --> 00:21:54,240 Speaker 1: such a large topic in social justice movement books have 383 00:21:54,320 --> 00:21:58,080 Speaker 1: been written in studying this specific subject, including one written 384 00:21:58,119 --> 00:22:01,840 Speaker 1: by Sarah Jackson, Moya Bailey, and Brook Fuco Oils titled 385 00:22:01,920 --> 00:22:05,440 Speaker 1: Hashtag Activism Networks of Race and Gender Justice, which was 386 00:22:05,480 --> 00:22:08,200 Speaker 1: published in twenty twenty, which we do want to talk 387 00:22:08,240 --> 00:22:10,760 Speaker 1: about throughout the rest of the episode. Here's a description 388 00:22:10,960 --> 00:22:15,000 Speaker 1: from MIT Press dot MIT dot edu. In this book, 389 00:22:15,040 --> 00:22:17,360 Speaker 1: they explore how and why Twitter has become an important 390 00:22:17,359 --> 00:22:21,800 Speaker 1: platform for historically disenfranchised populations, including Black Americans, women, and 391 00:22:21,920 --> 00:22:25,479 Speaker 1: transgender people. They show how marginalized groups long excluded from 392 00:22:25,520 --> 00:22:30,280 Speaker 1: elite media spaces have used Twitter hashtags to advance counter narratives, 393 00:22:30,359 --> 00:22:34,159 Speaker 1: preempt political spin, and build diverse networks of descent. 394 00:22:34,800 --> 00:22:37,119 Speaker 2: Throughout the book, the authors speak of the impact of 395 00:22:37,200 --> 00:22:40,840 Speaker 2: hashtags throughout the current movements that have affected throughout the US, 396 00:22:41,160 --> 00:22:43,679 Speaker 2: and in the book they define the usage of hashtag 397 00:22:43,800 --> 00:22:47,320 Speaker 2: and its uses. They write quote hashtags, which are discursive 398 00:22:47,400 --> 00:22:50,920 Speaker 2: and user generated, have become the default method to designate 399 00:22:50,960 --> 00:22:55,760 Speaker 2: collective thoughts, ideas, arguments, and experiences that might otherwise stand 400 00:22:55,800 --> 00:22:59,360 Speaker 2: alone or be quickly subsumed within the fast paced pastige 401 00:22:59,440 --> 00:23:02,840 Speaker 2: of Twitter. Hashtags makes sense of groups of tweets by 402 00:23:02,880 --> 00:23:06,840 Speaker 2: creating a searchable shortcut that can link people in ideas together. 403 00:23:07,520 --> 00:23:11,080 Speaker 1: The origin of hashtag activism sprung up around twenty eleven. 404 00:23:11,240 --> 00:23:13,879 Speaker 1: It is noted that one of the first usages of 405 00:23:13,920 --> 00:23:17,720 Speaker 1: the activism could be pointed to the hashtag airb Spring, 406 00:23:17,880 --> 00:23:21,040 Speaker 1: which started spreading in early twenty eleven in order to 407 00:23:21,040 --> 00:23:24,520 Speaker 1: bring awareness to the anti government protests in North Africa 408 00:23:24,560 --> 00:23:27,600 Speaker 1: and in the Middle East. The overall usage of hashtags 409 00:23:27,640 --> 00:23:31,119 Speaker 1: has created more space for disenfranchised voices to be heard. 410 00:23:31,560 --> 00:23:33,679 Speaker 1: In the books, they talk about the importance of the 411 00:23:33,720 --> 00:23:37,480 Speaker 1: platform and the importances of hashtags for the marginalized community. 412 00:23:37,640 --> 00:23:40,479 Speaker 1: They write, members of these marginalized groups, in the tradition 413 00:23:40,600 --> 00:23:44,280 Speaker 1: of counter publics, use Twitter hashtags to build diverse networks 414 00:23:44,280 --> 00:23:47,280 Speaker 1: of descent and shape the cultural and political knowledge fundamental 415 00:23:47,320 --> 00:23:50,080 Speaker 1: to contemporary identity based social movements. 416 00:23:50,480 --> 00:23:52,960 Speaker 2: Yeah, and we wanted to take some time to talk 417 00:23:52,960 --> 00:23:56,320 Speaker 2: about specific examples of some of this hashtag activism. Some 418 00:23:56,400 --> 00:23:59,920 Speaker 2: of the more influential and viewed hashtags used have been 419 00:24:00,080 --> 00:24:04,440 Speaker 2: for social justice movements. For feminist movements, we have hashtag 420 00:24:04,520 --> 00:24:07,880 Speaker 2: me two, hashtag Yes all Women, hashtag the empty Chair, 421 00:24:08,000 --> 00:24:11,960 Speaker 2: and hashtag while we Stayed, and more recently hashtag shout 422 00:24:12,000 --> 00:24:16,440 Speaker 2: your Abortion, which has created a larger narrative around different 423 00:24:16,720 --> 00:24:20,720 Speaker 2: movements within the feminist movement. These movements are often considered 424 00:24:20,840 --> 00:24:23,200 Speaker 2: to be, as we said, a part of the feminist 425 00:24:23,240 --> 00:24:27,320 Speaker 2: Twitter or feminist TikTok, which typically provides space to feminists 426 00:24:27,359 --> 00:24:29,760 Speaker 2: to move forward in the movement or the current issues 427 00:24:29,800 --> 00:24:33,719 Speaker 2: at hand. Hashtags like yes All Women garnered a global 428 00:24:33,800 --> 00:24:36,600 Speaker 2: level of attention, which at one point the hashtag being 429 00:24:36,600 --> 00:24:40,439 Speaker 2: tweeted by more than one million accounts. Of course, with 430 00:24:40,560 --> 00:24:44,080 Speaker 2: another hashtag trending at the same time, hashtag not. 431 00:24:44,040 --> 00:24:47,399 Speaker 1: All Men Rights, and hashtags like not All Men and 432 00:24:47,480 --> 00:24:50,639 Speaker 1: Men's Rates have been used as a response to the 433 00:24:50,640 --> 00:24:53,359 Speaker 1: different feminist hashtags, and they continue to be part of 434 00:24:53,400 --> 00:24:57,359 Speaker 1: the conversation in that specific subculture. But there were others 435 00:24:57,359 --> 00:25:01,560 Speaker 1: that were considered ally hashtags, like the empty chair, which 436 00:25:01,640 --> 00:25:05,040 Speaker 1: was created by journalists Elon James White, which was created 437 00:25:05,600 --> 00:25:10,040 Speaker 1: after the Bill Cosby hashtag. The hashtag was created after 438 00:25:10,119 --> 00:25:12,960 Speaker 1: the publishing of the Powerful cover photo of eleven women 439 00:25:13,280 --> 00:25:16,600 Speaker 1: and an empty chair in reference to Cosby's assault accusation. 440 00:25:17,359 --> 00:25:20,320 Speaker 1: The empty chair has been used to quote signify the 441 00:25:20,359 --> 00:25:23,600 Speaker 1: eleven other women who have accused Cosby of assault but 442 00:25:23,720 --> 00:25:27,680 Speaker 1: weren't photographed for the magazine, but was also representative of 443 00:25:27,720 --> 00:25:30,960 Speaker 1: the many women who didn't come forward. The hashtag was 444 00:25:31,000 --> 00:25:34,560 Speaker 1: eventually used for anonymous accounts of assault and harassment. Many 445 00:25:34,600 --> 00:25:39,600 Speaker 1: women experienced but couldn't come forward with. The movement was 446 00:25:39,640 --> 00:25:43,479 Speaker 1: a monumental one for survivors, as Jackson, Bailey and Wells 447 00:25:43,560 --> 00:25:47,000 Speaker 1: Wright published over the course of several days, hashtag the 448 00:25:47,040 --> 00:25:50,360 Speaker 1: Empty Chair worked primarily to show the scale of sexual violence, 449 00:25:50,600 --> 00:25:53,359 Speaker 1: the scale at which survivors are silenced. It did so 450 00:25:53,480 --> 00:25:57,040 Speaker 1: through two types of discourse, one affirming belief in survivors 451 00:25:57,080 --> 00:25:59,840 Speaker 1: and the value of women's experience regardless of when or 452 00:26:00,080 --> 00:26:03,520 Speaker 1: if they come forward, and the second calling attention to 453 00:26:03,560 --> 00:26:06,160 Speaker 1: the often invisible scope of the problem. 454 00:26:06,600 --> 00:26:09,880 Speaker 2: Right, of course, this is a bigger conversation about Alice Ship, 455 00:26:09,880 --> 00:26:11,159 Speaker 2: and we're going to kind of get into it in 456 00:26:11,160 --> 00:26:14,840 Speaker 2: a minute and how it may go awry. But another 457 00:26:14,880 --> 00:26:19,040 Speaker 2: subset comes from what is typically regarded as black Twitter movements, 458 00:26:19,160 --> 00:26:22,679 Speaker 2: like hashtag black Lives Matter or BLM, hashtags say her 459 00:26:22,760 --> 00:26:25,960 Speaker 2: Name and hashtag I can't breathe, a trended due to 460 00:26:25,960 --> 00:26:29,119 Speaker 2: the continued violence against the black community, often at the 461 00:26:29,160 --> 00:26:32,679 Speaker 2: hands of law enforcement, and much like the feminist hashtags, 462 00:26:32,880 --> 00:26:36,480 Speaker 2: these were typically started by women of color. Like most 463 00:26:36,560 --> 00:26:39,200 Speaker 2: issues when it comes to social justice and social movements, 464 00:26:39,920 --> 00:26:42,960 Speaker 2: is women of color, typically black women, who start these 465 00:26:43,000 --> 00:26:46,840 Speaker 2: trends and hashtags. It's all about intersectionality and that's what 466 00:26:46,880 --> 00:26:50,439 Speaker 2: they do. And as the research shows, Black Americans actually 467 00:26:50,440 --> 00:26:52,720 Speaker 2: make up the majority of Twitter users and this was 468 00:26:52,760 --> 00:26:56,600 Speaker 2: of course as of twenty twenty. Things have changed. We 469 00:26:56,640 --> 00:26:59,160 Speaker 2: need to get those statistics because things are rapidly changing 470 00:26:59,160 --> 00:27:00,919 Speaker 2: in the world of Twitter. Know this and many have 471 00:27:01,040 --> 00:27:04,840 Speaker 2: made a mass exodus. So how have these hashtags helped 472 00:27:04,840 --> 00:27:07,560 Speaker 2: the marginalized communities? As we said before, many of these 473 00:27:07,560 --> 00:27:11,080 Speaker 2: powerful hashtags and trends begin with Black women and oftentimes 474 00:27:11,119 --> 00:27:15,720 Speaker 2: goes into larger movements outside of the platforms. It allows 475 00:27:15,760 --> 00:27:19,640 Speaker 2: for community among the different marginalized groups and solidarity which 476 00:27:19,640 --> 00:27:23,720 Speaker 2: is oftentimes unseen during times of distress. An example of 477 00:27:23,760 --> 00:27:26,480 Speaker 2: that that I actually didn't know much about until recently 478 00:27:26,640 --> 00:27:31,760 Speaker 2: is hashtag fast tailed girls. When there was conversation of 479 00:27:31,920 --> 00:27:35,600 Speaker 2: young black women being too loose or too fast and 480 00:27:35,640 --> 00:27:38,600 Speaker 2: having a conversation of them being sexualized at an early 481 00:27:38,640 --> 00:27:41,560 Speaker 2: age and just being sexualized just for existing, and it 482 00:27:41,600 --> 00:27:45,720 Speaker 2: brought a larger commoderie among black women to be able 483 00:27:45,760 --> 00:27:49,280 Speaker 2: to speak out against the misogyn noir based on this. 484 00:27:49,359 --> 00:27:51,320 Speaker 2: So it was an amazing movement to see and it's 485 00:27:51,359 --> 00:27:53,920 Speaker 2: so important for us to look at because we don't 486 00:27:53,960 --> 00:27:59,040 Speaker 2: hear about these conversations, and it doesn't take off unless 487 00:27:59,320 --> 00:28:02,040 Speaker 2: something like a hashtag really happens. 488 00:28:02,880 --> 00:28:06,800 Speaker 1: There is also a chance of preserving history and seeking 489 00:28:06,880 --> 00:28:09,840 Speaker 1: visibility and justice for those who may never receive it 490 00:28:09,960 --> 00:28:12,760 Speaker 1: by courts. We've talked about that before, as well as 491 00:28:12,800 --> 00:28:16,600 Speaker 1: the author's write in the hashtag Activism book Quote. A 492 00:28:16,680 --> 00:28:20,040 Speaker 1: similar commitment to historical memory is seen in hashtags say 493 00:28:20,080 --> 00:28:23,200 Speaker 1: her name tweets highlighting historical cases of state violence against 494 00:28:23,240 --> 00:28:25,760 Speaker 1: black women, such as the nineteen eighty four killing of 495 00:28:25,800 --> 00:28:29,960 Speaker 1: Eleanor Bumpers by the NYPD, alongside more recent ones as 496 00:28:30,040 --> 00:28:33,920 Speaker 1: a digital utterance, engaging a variety of political demands around visibility, 497 00:28:34,000 --> 00:28:37,560 Speaker 1: state violence, feminism, and racial justice. Hashtags say her name 498 00:28:37,600 --> 00:28:41,240 Speaker 1: plays two primary roles on Twitter. First, it eulogizes women 499 00:28:41,240 --> 00:28:44,320 Speaker 1: of color killed as a result of misogynoire is stick violence, 500 00:28:44,360 --> 00:28:47,440 Speaker 1: insisting that their lives and stories matter. On Twitter, this 501 00:28:47,560 --> 00:28:50,600 Speaker 1: came to include CIS and trans, black and LATINX women 502 00:28:51,000 --> 00:28:53,680 Speaker 1: and girls killed by police or while in police custody, 503 00:28:53,760 --> 00:28:55,480 Speaker 1: as well as those killed as a result of a 504 00:28:55,560 --> 00:28:58,240 Speaker 1: larger culture of neglect regarding the safety of black and 505 00:28:58,280 --> 00:29:01,840 Speaker 1: brown women. Second, it demands visibility of these stories in 506 00:29:01,880 --> 00:29:05,400 Speaker 1: the name of specific interventions into systemic and intersectional forms 507 00:29:05,400 --> 00:29:09,280 Speaker 1: of oppression. This visibility is frequently accompanied not only by 508 00:29:09,280 --> 00:29:12,680 Speaker 1: the invocation of names and stories, but also by statistics, 509 00:29:12,720 --> 00:29:15,880 Speaker 1: political demands, and calls for policy interventions. 510 00:29:16,160 --> 00:29:19,040 Speaker 2: Right and oftentimes we can see of the result of 511 00:29:19,080 --> 00:29:22,600 Speaker 2: what happens. One of the prime examples would be hashtag 512 00:29:23,000 --> 00:29:26,080 Speaker 2: Brianna Taylor. We saw a result of what we went on, 513 00:29:26,240 --> 00:29:29,400 Speaker 2: including the trials and the arrests and the firing and 514 00:29:29,400 --> 00:29:33,280 Speaker 2: the corruption that happened years later. And it is because 515 00:29:33,400 --> 00:29:37,720 Speaker 2: of hashtags like say her name that has really brought 516 00:29:37,760 --> 00:29:40,200 Speaker 2: about a change in what we see and what we 517 00:29:40,280 --> 00:29:44,240 Speaker 2: witness and the accountability that sometimes is and sometimes isn't there. 518 00:29:44,840 --> 00:29:46,880 Speaker 2: And I think that's a bigger part of that conversation, 519 00:29:47,120 --> 00:29:49,280 Speaker 2: as in fact, they talked about in this book that 520 00:29:49,440 --> 00:29:53,000 Speaker 2: hashtag Trayvon Martin still exists today, still used today in 521 00:29:53,080 --> 00:29:56,360 Speaker 2: order that we still remember what has happened and the 522 00:29:56,400 --> 00:29:59,800 Speaker 2: tragedy and the injustice that happened because of that incident, 523 00:30:00,160 --> 00:30:02,920 Speaker 2: and making sure that we have a conversation of the 524 00:30:02,920 --> 00:30:06,920 Speaker 2: bigger implications. And I think it really brought an awareness 525 00:30:07,080 --> 00:30:09,920 Speaker 2: to these injustices that hadn't been around in the last 526 00:30:10,480 --> 00:30:14,160 Speaker 2: century until the last decade of some of these movements, 527 00:30:14,360 --> 00:30:16,840 Speaker 2: So I think it's also a bigger conversation and that, 528 00:30:16,960 --> 00:30:19,760 Speaker 2: and of course again you have to credit black women 529 00:30:19,960 --> 00:30:22,640 Speaker 2: who are the ones at the forefront of bringing this about. 530 00:30:22,920 --> 00:30:25,520 Speaker 2: No matter what we say about the Black Lives Matter organization, 531 00:30:25,760 --> 00:30:27,240 Speaker 2: there's a lot of ups and downs, and there's a 532 00:30:27,240 --> 00:30:30,280 Speaker 2: lot of conversations about being a bit kind of crumbling, 533 00:30:30,640 --> 00:30:34,000 Speaker 2: but the actual movement in itself has held strong. It 534 00:30:34,000 --> 00:30:37,160 Speaker 2: has meant a lot for those who have no voice 535 00:30:37,160 --> 00:30:40,520 Speaker 2: and those who are oftentimes oppressed, so you can't ignore 536 00:30:41,160 --> 00:30:44,400 Speaker 2: the impact of it all. Of course, there are some 537 00:30:44,480 --> 00:30:46,480 Speaker 2: good and bad with this, and we want to talk 538 00:30:46,520 --> 00:30:49,960 Speaker 2: about that, as we know. As good great as some 539 00:30:50,040 --> 00:30:53,239 Speaker 2: of these hashtag activism is, there's also the bad. As 540 00:30:53,280 --> 00:30:56,840 Speaker 2: we talked about not all men wasn't great. There's also 541 00:30:56,920 --> 00:31:00,000 Speaker 2: talking when we had that conversation with women white ways 542 00:31:00,160 --> 00:31:03,920 Speaker 2: and taking on you know, feminism and forgetting that there 543 00:31:03,960 --> 00:31:06,440 Speaker 2: is an intersectionality to it, and being called out and 544 00:31:06,440 --> 00:31:09,680 Speaker 2: then making excuses. There are a lot of conversations about that, 545 00:31:09,760 --> 00:31:13,560 Speaker 2: and then of course we have the not so great 546 00:31:14,240 --> 00:31:19,360 Speaker 2: hashtags that we wish didn't exist and oftentimes are detrimental, racist, 547 00:31:20,040 --> 00:31:24,600 Speaker 2: very very damaging and violent even that have existed as well, 548 00:31:24,720 --> 00:31:27,200 Speaker 2: so you can't have one without the other. However, there 549 00:31:27,240 --> 00:31:32,320 Speaker 2: has been implementations used in order to redirect and one 550 00:31:32,320 --> 00:31:34,840 Speaker 2: of that would be the hashtag of flooding. And if 551 00:31:34,840 --> 00:31:38,720 Speaker 2: you're wondering what hashtag flooding is is the act of 552 00:31:38,840 --> 00:31:42,520 Speaker 2: hijacking a hashtag on social media platforms to change its meaning, 553 00:31:43,120 --> 00:31:45,440 Speaker 2: which apparently has been around for years, and that's from 554 00:31:45,480 --> 00:31:48,280 Speaker 2: the article twenty twenty was the year activist mastered hashtag 555 00:31:48,280 --> 00:31:52,000 Speaker 2: flooding from matchable dot com. We talked about the power 556 00:31:52,200 --> 00:31:56,000 Speaker 2: of fangirls and fans and one of the things that 557 00:31:56,040 --> 00:31:59,320 Speaker 2: we can ignore is that the BTS fans did some things, 558 00:31:59,520 --> 00:32:05,840 Speaker 2: including flooding Donald Trump related hashtag in order to rally 559 00:32:05,880 --> 00:32:09,880 Speaker 2: with the gay community. They took their own spin on 560 00:32:09,960 --> 00:32:14,280 Speaker 2: the hashtag proud boys hashtags. It was beautiful to see Biggs. 561 00:32:14,360 --> 00:32:17,520 Speaker 2: It was ridiculous and funny at the same time because 562 00:32:17,560 --> 00:32:19,920 Speaker 2: all you would see is pictures of BTS. I think 563 00:32:19,920 --> 00:32:23,240 Speaker 2: that's when I really understood how powerful the fan groups 564 00:32:23,320 --> 00:32:28,640 Speaker 2: really were. Another one would be hashtag my NYPD. Originally 565 00:32:28,800 --> 00:32:31,440 Speaker 2: was something that the police department tried to do to 566 00:32:31,480 --> 00:32:35,560 Speaker 2: look better and asking for good stories or good interactions. 567 00:32:35,840 --> 00:32:41,000 Speaker 2: Instead got flooded with accounts of assault or harassment or 568 00:32:41,400 --> 00:32:44,600 Speaker 2: police brutality. It did not go well, and I think 569 00:32:44,600 --> 00:32:47,320 Speaker 2: there was even one tweet that says, I don't think 570 00:32:47,360 --> 00:32:51,440 Speaker 2: you thought this through in reply to the NYPD request. 571 00:32:51,520 --> 00:32:54,080 Speaker 2: But of course that can also turn for a flip. 572 00:32:54,120 --> 00:32:56,200 Speaker 2: You can also have that in different ways, which we've 573 00:32:56,240 --> 00:33:02,280 Speaker 2: seen recently. The Elon Musk stands are out there and 574 00:33:02,360 --> 00:33:05,280 Speaker 2: the minute they must have it, like on alert, if 575 00:33:05,280 --> 00:33:09,320 Speaker 2: anyone talks bad about Elon Musks, they come out in droves. 576 00:33:09,440 --> 00:33:13,640 Speaker 2: I was kind of floored by that, because I know, 577 00:33:13,840 --> 00:33:16,640 Speaker 2: I don't know many people that treat him as this god, 578 00:33:16,680 --> 00:33:20,160 Speaker 2: which apparently for some are. Of course, we're not talking 579 00:33:20,200 --> 00:33:23,040 Speaker 2: about bots, so that's a whole different conversation, and that's 580 00:33:23,040 --> 00:33:24,760 Speaker 2: the other part to that is that some of this 581 00:33:24,800 --> 00:33:29,240 Speaker 2: flooding is coming from bots as well. Another example of 582 00:33:29,240 --> 00:33:33,080 Speaker 2: the flooding that was really great White Lives Matter that 583 00:33:33,160 --> 00:33:37,840 Speaker 2: happened after in response to Black Lives Matter, got really 584 00:33:38,000 --> 00:33:41,440 Speaker 2: reamed over by BTS fans as well, and you love 585 00:33:41,480 --> 00:33:42,800 Speaker 2: to see it. You love to see it as well 586 00:33:42,800 --> 00:33:45,080 Speaker 2: as the Q and non stuff. But again that also 587 00:33:45,160 --> 00:33:47,840 Speaker 2: came with Pizzagate, which had its own booms. So there's 588 00:33:47,880 --> 00:33:52,800 Speaker 2: a conversation about whether or not this is great or 589 00:33:52,880 --> 00:33:55,160 Speaker 2: concerning and what does it look like in the future, 590 00:33:55,800 --> 00:33:59,000 Speaker 2: And for flooding, who knows this according to who kind 591 00:33:59,040 --> 00:34:02,680 Speaker 2: of controls that arrative, who kind of controls that social platform, 592 00:34:03,320 --> 00:34:07,200 Speaker 2: who has the most monetary gain. Of course, you know, 593 00:34:07,240 --> 00:34:10,000 Speaker 2: Facebook was a part of that problem when they refuse 594 00:34:10,120 --> 00:34:13,000 Speaker 2: to take down this information because they were making too 595 00:34:13,080 --> 00:34:15,319 Speaker 2: much money off of it. So there's kind of this 596 00:34:15,400 --> 00:34:32,120 Speaker 2: whole level of conversations. As we kind of wrap it up, 597 00:34:32,120 --> 00:34:33,600 Speaker 2: we want to talk about the good, the bad, and 598 00:34:33,680 --> 00:34:36,759 Speaker 2: the uncertainty when it comes to social media. With this 599 00:34:36,800 --> 00:34:41,200 Speaker 2: activism as well hashtag activism, we know that the activism 600 00:34:41,320 --> 00:34:44,960 Speaker 2: does bring out community and organizations things that you may 601 00:34:45,040 --> 00:34:47,479 Speaker 2: never know about. One of the first things I saw 602 00:34:47,600 --> 00:34:52,040 Speaker 2: during like the Black Lives Matter protests during Ferguson with 603 00:34:52,080 --> 00:34:55,279 Speaker 2: Michael Brown being murdered as well as the death in 604 00:34:56,160 --> 00:35:00,520 Speaker 2: New York, we saw people coming together and one of 605 00:35:00,520 --> 00:35:02,759 Speaker 2: the best ways that happened was through the hashtag Black 606 00:35:02,800 --> 00:35:07,400 Speaker 2: Lives Matter, organizing and creating protests all around the country 607 00:35:07,560 --> 00:35:10,000 Speaker 2: and seeing that support and coming together. We saw that 608 00:35:10,040 --> 00:35:13,080 Speaker 2: with a women's march really coming together as a country 609 00:35:13,239 --> 00:35:15,120 Speaker 2: and having the rally. As in fact, we know there's 610 00:35:15,160 --> 00:35:18,239 Speaker 2: another women's march coming up late January twenty second, we'll 611 00:35:18,280 --> 00:35:21,200 Speaker 2: have to go back and look that's seeking to have 612 00:35:21,239 --> 00:35:23,600 Speaker 2: a conversation or at least protest against the Roe v. 613 00:35:23,719 --> 00:35:28,799 Speaker 2: Wade overturning. And those are some amazing, amazing things that 614 00:35:28,840 --> 00:35:31,440 Speaker 2: we want to keep looking at it. And if we 615 00:35:31,520 --> 00:35:34,160 Speaker 2: look towards black women, they really are the ones that 616 00:35:34,239 --> 00:35:37,600 Speaker 2: have used these and the most creative, succinct ways and 617 00:35:37,719 --> 00:35:41,120 Speaker 2: tactics in releasing these hashtags. Of course, we have to 618 00:35:41,120 --> 00:35:44,080 Speaker 2: look at the bad As we talked about, there's a 619 00:35:44,120 --> 00:35:49,600 Speaker 2: lot more conversations about possibly being watched by police states 620 00:35:49,680 --> 00:35:54,840 Speaker 2: essentially we know around really watches it. There was several 621 00:35:55,040 --> 00:35:59,480 Speaker 2: arrest based on people's posts in supporting protesters and they 622 00:35:59,520 --> 00:36:02,600 Speaker 2: were arrested just for that, and that is concerning UH. 623 00:36:02,719 --> 00:36:07,600 Speaker 2: There has been groups where specific hashtag was made by 624 00:36:07,800 --> 00:36:11,600 Speaker 2: police by law enforcement in order to catch people, essentially 625 00:36:11,800 --> 00:36:15,000 Speaker 2: in order to get names in order to surveil The 626 00:36:15,040 --> 00:36:19,640 Speaker 2: Standing Rock protests had many many of the police officers 627 00:36:19,640 --> 00:36:23,239 Speaker 2: trying to find individuals to arrest, to arrest all of 628 00:36:23,239 --> 00:36:25,440 Speaker 2: those things. But the good news on that was there 629 00:36:25,480 --> 00:36:28,480 Speaker 2: was many supporters who also checked in and did the 630 00:36:28,520 --> 00:36:31,919 Speaker 2: hashtags in order to confuse and bombard anybody who would 631 00:36:32,000 --> 00:36:35,920 Speaker 2: use those types of methods. But it is concerning, obviously, 632 00:36:36,200 --> 00:36:40,279 Speaker 2: obviously the continued harassment. We know that if you take 633 00:36:40,320 --> 00:36:42,600 Speaker 2: a stance and if you link to that again, a 634 00:36:42,680 --> 00:36:47,000 Speaker 2: lot of Musk supporters right now are on full one 635 00:36:47,719 --> 00:36:50,880 Speaker 2: going after anyone and everyone. Again, I don't know the bots, 636 00:36:51,040 --> 00:36:53,040 Speaker 2: maybe there are hopefully that they don't come after me. 637 00:36:53,200 --> 00:36:55,480 Speaker 2: I'm not important though, but I've seen it. I've even 638 00:36:55,520 --> 00:37:01,279 Speaker 2: seen recently in conversations for conversations for black women, to 639 00:37:01,320 --> 00:37:05,360 Speaker 2: support black women. We know the trial for Megande Stallion 640 00:37:05,440 --> 00:37:09,200 Speaker 2: just happened. He was found guilty, but to watch what 641 00:37:09,239 --> 00:37:12,600 Speaker 2: was happening on Twitter, to watch the hashtag MegaNet Stallion 642 00:37:12,880 --> 00:37:16,880 Speaker 2: hashtag believe her Believe black women. They were attacked every 643 00:37:16,960 --> 00:37:21,160 Speaker 2: single time there would be one to one where some misogynist, 644 00:37:21,200 --> 00:37:24,040 Speaker 2: missogyn noir would be coming out full full force, and 645 00:37:24,080 --> 00:37:26,200 Speaker 2: it was based on these hashtags. It was really really 646 00:37:26,239 --> 00:37:29,760 Speaker 2: gross and ugly. They continued to harass individuals who would support. 647 00:37:29,960 --> 00:37:32,360 Speaker 2: They continued to harass her to the point that she 648 00:37:32,520 --> 00:37:36,680 Speaker 2: just regrets. She said she regretted doing this. So there's 649 00:37:36,719 --> 00:37:39,600 Speaker 2: a lot to talk about with the bad. And then 650 00:37:39,600 --> 00:37:44,279 Speaker 2: there's the uncertainty I talked about earlier, the allyship that 651 00:37:44,320 --> 00:37:47,480 Speaker 2: has happened with hashtags like the empty chair he for 652 00:37:47,640 --> 00:37:50,239 Speaker 2: she all of these things, but unfortunately a lot of 653 00:37:50,280 --> 00:37:53,960 Speaker 2: these hashtags don't have a plan with it, they don't 654 00:37:53,960 --> 00:37:56,120 Speaker 2: haven't called to action with it. They are just more 655 00:37:56,160 --> 00:37:57,880 Speaker 2: of like, I want to tell you my story and 656 00:37:57,920 --> 00:37:59,480 Speaker 2: I want to tell you I'm not as bad as them, 657 00:38:00,000 --> 00:38:03,239 Speaker 2: which happened a lot, which is very counterintuitive to what 658 00:38:03,360 --> 00:38:05,600 Speaker 2: needs to happen. That's the conversation of, like, you're not 659 00:38:05,719 --> 00:38:09,920 Speaker 2: understanding what hashtag activism was originally intended to be, and 660 00:38:09,960 --> 00:38:14,319 Speaker 2: you're now overtaking the original intent, which was a call 661 00:38:14,480 --> 00:38:17,279 Speaker 2: to action for those to come together. So it's kind 662 00:38:17,280 --> 00:38:19,640 Speaker 2: of like, uh, I get what you're trying to do, 663 00:38:20,040 --> 00:38:23,040 Speaker 2: but good intentions aren't always great. And that's that conversation 664 00:38:23,080 --> 00:38:25,319 Speaker 2: that we need to have. Why are you creating this? 665 00:38:25,560 --> 00:38:27,720 Speaker 2: Are you doing this in support? Or have you taken 666 00:38:27,760 --> 00:38:29,880 Speaker 2: over something that you shouldn't be taken over? Have you 667 00:38:29,920 --> 00:38:33,480 Speaker 2: made the story about you or are you taking credit? 668 00:38:33,760 --> 00:38:36,239 Speaker 2: Alyssa Milano is kind of a prime example of that. 669 00:38:36,320 --> 00:38:38,719 Speaker 2: She took a movement that wasn't a hashtag yet, but 670 00:38:38,800 --> 00:38:41,040 Speaker 2: it was a movement that Torona Burke started and I 671 00:38:41,040 --> 00:38:44,239 Speaker 2: believe two thousand and seven of me too, and took 672 00:38:44,280 --> 00:38:46,399 Speaker 2: it on to Twitter and took credit for it until 673 00:38:46,440 --> 00:38:48,720 Speaker 2: she got called out. I think she would say she didn't. 674 00:38:48,800 --> 00:38:51,200 Speaker 2: She was just trying to push forward a movement, which 675 00:38:51,239 --> 00:38:54,320 Speaker 2: was great, but you have to be able to give credit. 676 00:38:54,560 --> 00:38:56,760 Speaker 2: And again, this is kind of the erasure that happens 677 00:38:57,000 --> 00:39:00,440 Speaker 2: over and over and over again with these movements. Oscar 678 00:39:00,480 --> 00:39:02,840 Speaker 2: so White another one of those kind of trying to 679 00:39:02,920 --> 00:39:05,319 Speaker 2: change those narratives, which is really really great, but then 680 00:39:05,360 --> 00:39:10,799 Speaker 2: it kind of also falls apart when nothing changes and 681 00:39:10,880 --> 00:39:13,560 Speaker 2: it seems to stay the same. So there's a lot 682 00:39:13,600 --> 00:39:16,799 Speaker 2: to be said about that. As we're watching Twitter, it 683 00:39:17,120 --> 00:39:19,520 Speaker 2: seems to be going I don't know, I know nothing 684 00:39:19,520 --> 00:39:23,520 Speaker 2: about Twitter outside of what I read. It has changed, obviously, 685 00:39:23,560 --> 00:39:26,960 Speaker 2: the platform has changed greatly, But when it comes down 686 00:39:27,000 --> 00:39:30,560 Speaker 2: to it, because Twitter was as a forefront essentially of 687 00:39:30,600 --> 00:39:34,000 Speaker 2: the hashtag movements, it seems uncertain about what we're going 688 00:39:34,040 --> 00:39:36,960 Speaker 2: to see with these types of hashtag activists of what 689 00:39:37,000 --> 00:39:40,720 Speaker 2: does it look like. TikTok has created its own brand 690 00:39:40,800 --> 00:39:43,480 Speaker 2: of hashtags of the use of hashtags, so it'll be 691 00:39:43,520 --> 00:39:47,040 Speaker 2: interesting to see how it evolves and then how and 692 00:39:47,080 --> 00:39:49,439 Speaker 2: whether or not they're going to include the people who 693 00:39:49,520 --> 00:39:53,440 Speaker 2: were the big proponents to this, which are women of color, 694 00:39:53,600 --> 00:39:55,080 Speaker 2: black women, right. 695 00:39:55,120 --> 00:39:58,279 Speaker 1: And I think something like this is so important to 696 00:39:58,320 --> 00:40:01,359 Speaker 1: talk about because you know, even if, as we said 697 00:40:01,360 --> 00:40:04,160 Speaker 1: in that episode of bridget you don't use Twitter, you know, 698 00:40:04,520 --> 00:40:08,760 Speaker 1: like about these movements we're talking about, You've seen, experienced 699 00:40:09,320 --> 00:40:14,239 Speaker 1: the outcomes from them, You've heard of them, and they 700 00:40:14,280 --> 00:40:16,960 Speaker 1: have become a part of our vocabulary and vernacular, and 701 00:40:17,040 --> 00:40:21,320 Speaker 1: you know they can be these really creative, fun things, 702 00:40:23,320 --> 00:40:27,200 Speaker 1: but also just these real tools for change that are 703 00:40:27,280 --> 00:40:31,040 Speaker 1: It's always good to keep in mind where that comes from, 704 00:40:31,120 --> 00:40:35,040 Speaker 1: the people who you should credit, and just how you're 705 00:40:35,200 --> 00:40:37,600 Speaker 1: using them, because you never know. You should always check 706 00:40:37,680 --> 00:40:42,800 Speaker 1: your hashtag before you post it, right, associated with something 707 00:40:42,840 --> 00:40:44,840 Speaker 1: else that you don't want it to be associated with. 708 00:40:45,000 --> 00:40:47,880 Speaker 1: Are taking conversation away from something you shouldn't be taking 709 00:40:47,920 --> 00:40:53,719 Speaker 1: conversation away from. Exactly, Yes, yes, yes, well this was 710 00:40:53,719 --> 00:40:55,920 Speaker 1: a fun one. This was a fun one and we 711 00:40:56,000 --> 00:40:58,360 Speaker 1: do have a lot more of this technology stuff coming along, 712 00:40:58,520 --> 00:41:02,719 Speaker 1: so look out for that. Also. Yeah, just let us 713 00:41:02,719 --> 00:41:05,600 Speaker 1: know if you've got any thoughts about hashtags, hashtag history, 714 00:41:05,600 --> 00:41:09,640 Speaker 1: favorite hashtags that would be wonderful. You can email us 715 00:41:09,640 --> 00:41:11,880 Speaker 1: at Stephania mom Stuff at iHeartMedia dot com. You can 716 00:41:11,920 --> 00:41:15,280 Speaker 1: find us on Twitter, Mom Stuff Podcast, or on Instagram 717 00:41:15,280 --> 00:41:17,680 Speaker 1: at stuff one Never Told You. Thanks as always to 718 00:41:17,800 --> 00:41:18,919 Speaker 1: our super producer. 719 00:41:18,680 --> 00:41:22,600 Speaker 2: Christina Hashtag, thank you, and. 720 00:41:22,880 --> 00:41:25,200 Speaker 1: Thanks to you for listening. Stuffan Never Told You is 721 00:41:25,200 --> 00:41:27,480 Speaker 1: production of iHeartRadio. For more podcasts or my heart Radio, 722 00:41:27,520 --> 00:41:29,400 Speaker 1: you can check out the heart Radio app, Apple Podcast, 723 00:41:29,480 --> 00:41:31,080 Speaker 1: or wherever you listen to your favorite shows.